However, processing images on a global scale is becoming more and more feasible as computational capabilities improve ( Klein et al. Furthermore, extensive computational resources are required to process the imagery. Acquiring imagery is expensive in both time and bandwidth. The computational challenges inherent in processing the imagery. The lack of previous quantitative evaluations is largely due to three factors: In addition, the only algorithms evaluated were normalized difference spectral indices thresholds. 2014), but its focus was on flooded rice cropping systems, not floods. To the best of our knowledge, only one quantitative evaluation of water detection algorithms has been done ( Boschetti et al. Without quantitative evaluation, it is difficult to know which algorithm to use in a given environment. Many algorithms have been introduced for specific floods or regions, and their effectiveness has only been verified by subjective visual evaluation. While preparing our own online flood mapping tool, we discovered that, despite substantial previous research in flood mapping algorithms, comparative, quantitative evaluation has been scant at best. However, these tools focus largely on the needs of researchers rather than the needs of flood responders and victims, as they are in a format not readily accessible or understandable by laypeople. Existing online tools include the Dartmouth Flood Observatory ( Brakenridge and Anderson 2006), the Global Flood Detection System ( Kugler and De Groeve 2007), and the Global Flood Monitoring System ( Wu et al. The remote sensing community has already developed numerous algorithms and online tools which rapidly map the extent of floods using multiple sources of satellite imagery. These maps will be provided both to responders and to flood victims, complementing Google’s existing crisis response efforts. Our ultimate goal, working with our partners at Google, is to deploy an online tool which will automatically and rapidly create and publish maps of floods. With maps of the flooded areas, produced rapidly and automatically from satelite or aerial imagery, responders can allocate their resources effectively to minimize loss of life and damage by quickly identifying the flooded areas ( Taubenböck et al. Every year, floods claim an average of 140 lives and cause $6 billion in property damage in the United States alone ( United States Geological Survey 2006).
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